Discussion Guides – Group 10 Problem statement: Big bazaar is facing declining market share‚ the stores are inconvenient for shoppers for example long ques ‚ less employees‚ etc. making the entire shopping experience unpleasant. Data Collection from the Customers Big bazaar brings multiple products‚ opportunities and services to millions of customers in India. Through over 16 million square feet of retail space‚ we serve customers in 95 cities across the country. Most of all‚ big bazaar help India
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Coca-Cola Freestyle Data Collection Coca-Cola Freestyle is a touch screen soda fountain introduced by The Coca-Cola Company in 2009. The machine is able to dispense over 125 different Coca-Cola drink products and custom flavors. This machine allows consumers to select from mixtures of flavors of Coca-Cola products which are then individually dispensed. Not only this drink provides abundance of choice of drinks to consumers‚ it also provides valuable data collection of customer’s consumption. On
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Data Collection QNT/351 April 1‚ 2013 This paper will cover the steps in testing a research hypothesis. This paper will cover comparing the means of two or more groups pay scale and we will use the graduate students from the University of Phoenix to compare data. Also included in this paper will be the calculation correlation between the two variables. There are five steps that are used in testing a hypothesis to support beliefs about comparisons‚ groups or variables. The first thing we have
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Cluster Sampling Cluster sampling‚ also called block sampling. In cluster sampling‚ the population that is being sampled is divided into groups called clusters. Instead of these subgroups being homogeneous based on selected criteria as in stratified sampling‚ a cluster is as heterogeneous as possible to matching the population. A random sample is then taken from within one or more selected clusters. For example‚ if an organization has 30 small projects currently under development‚ an auditor looking
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NV4602 Research Methods for Postgraduate Study Revision Data Collection Methods Primary and Secondary Data Objectives for Today Revise different research philosophies Review the differences between quantitative and qualitative approaches Look at additional methods for data collection Explain the difference between primary and secondary sources of data Discuss the relative advantages and disadvantages of using primary and secondary sources in a research project lbic.navitas.com navitas
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Developing a Restaurant Recommender System ( http://affirmation.mine.nu ) Written by Fredrik Kalseth Supervised by Marilyn Walker 4th of May‚ 2005 Module: COM3010 / COM3021. This report is submitted in partial fulfillment of the requirement for the degree of Bachelor of Computer Science by Fredrik Kalseth. I Declaration All sentences or passages quoted in this report from other people’s work have been specifically acknowledged by clear cross-referencing to author‚ work and page(s)
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Data Collection and Analysis of Starbucks Coffee Corporation Keller Graduate School of Management HRM 592: Training and Development February 10‚ 2013 Data Collection Analysis of Starbuck Coffee Corporation Starbucks‚ as we know‚ is the largest global coffee company and coffeehouse chain in the world. Employees‚ otherwise known as “partners”‚ serve hot and cold beverages‚ whole-bean coffee‚ instant coffee‚ tea and food to its customers or target market. As a former employee‚ or “partner”‚ this paper
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X’s APPROACH TO HR DATA COLLECTION‚ STORAGE AND USAGE Within X data is being collected in a systematic approach of set guidelines. Subsequently stored and made easily available to all relevant people. Reasons why X collets HR data X needs to keep certain information in order to: satisfy legal requirements provide relevant information in decision making and for consultation requirement record contractual arrangements and agreements keep contact details of employees provide
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US Census Bureau Data Collection Project IT/205 May 31st‚ 2013 Chester Grice US Census Bureau The (FDCA) commonly known as the Field Data Collection Automation program is a very important thing in the U.S. Census Bureau. The program’s efforts to make the counting process more efficient by using hand-held electronic devices would have made things much easier‚ had they went as planned. The Census Bureau’s ability effectively and accurately receives and handle census data is integral to the
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Exploiting Semantic Web Technologies for Recommender Systems A Multi View Recommendation Engine Houda OUFAIDA‚ Omar NOUALI DTISI Laboratory‚ CERIST Research Center 03‚ Rue frères Aissou - Ben Aknoun – Algiers‚ Algeria {houfaida‚ onouali}@mail.cerist.dz Abstract Collaborative filtering systems are probably the most known recommendation techniques in the recommender systems field. They have been deployed in many commercial and academic applications. However‚ these systems still have some limitations
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